Small Noisy and Perspective Face Detection using Deformable Symmetric
Gabor Wavelet Network
- URL: http://arxiv.org/abs/2010.16164v1
- Date: Fri, 30 Oct 2020 10:07:34 GMT
- Title: Small Noisy and Perspective Face Detection using Deformable Symmetric
Gabor Wavelet Network
- Authors: Sherzod Salokhiddinov, Seungkyu Lee
- Abstract summary: We propose deformable symmetric Gabor wavelet network face model for face detection in low resolution image.
Our model optimize the rotation, translation, dilation, perspective and partial deformation amount of the face model with symmetry constraints.
Experimental results on our low resolution face image dataset and videos show promising face detection and tracking results.
- Score: 0.15229257192293197
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Face detection and tracking in low resolution image is not a trivial task due
to the limitation in the appearance features for face characterization.
Moreover, facial expression gives additional distortion on this small and noisy
face. In this paper, we propose deformable symmetric Gabor wavelet network face
model for face detection in low resolution image. Our model optimizes the
rotation, translation, dilation, perspective and partial deformation amount of
the face model with symmetry constraints. Symmetry constraints help our model
to be more robust to noise and distortion. Experimental results on our low
resolution face image dataset and videos show promising face detection and
tracking results under various challenging conditions.
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